Macy's, Inc.
Macy's, Inc. has been named in 2 documented digital harm incidents. The most common harm domain is Fraud & Financial, followed by Algorithmic Discrimination.
Documented Incidents
2Howard County woman loses $2,300 to unauthorized Macy's order and porch theft after account compromise
A Howard County woman, Cheryl Skinner of Ellicott City, had her credit card information used to place a $2,300 order for multiple Xbox consoles from Macy's, which she did not authorize. On November 17, she received a confirmation email for the order and later learned her Macy's account email had been changed to an unknown address. Despite contacting Macy's and her credit card company to dispute the charge, the package was delivered to her front porch and stolen within 30 minutes, as captured on her security camera. A man in a Nike sweatshirt was seen retrieving the box and loading it into a silver car. Skinner filed a police report and is still disputing the charge while awaiting resolution. Howard County police noted the difficulty in solving such fraud cases and urged victims to work with credit card companies and law enforcement.
61-year-old Black man wrongfully arrested after facial recognition misidentification in Houston Sunglass Hut robbery, leading to sexual assault and lawsuit against EssilorLuxottica and Macy's
Harvey Eugene Murphy Jr., a 61-year-old man, was mistakenly identified as a robber in a January 2022 Sunglass Hut store robbery in Houston, Texas, by facial recognition software. Despite living in California at the time, Murphy was arrested in Texas when he returned to renew his driver's license and was held in jail, where he claims he was sexually assaulted. The Harris County District Attorney's office later cleared him of involvement in the robbery. Murphy is suing Sunglass Hut's parent company, EssilorLuxottica, and Macy's, alleging that faulty facial recognition technology and potential investigative bias led to his wrongful arrest and subsequent injuries. The case highlights concerns about the accuracy and bias of facial recognition systems, which have previously led to misidentifications of Black, Asian, and Latino individuals.